Ankit Sakhuja

Kaitlin M. Alexander, a clinical associate professor specializing in AI in pharmacy education, and Ankit Sakhuja, director of AI at an Institute for Critical Care Medicine, share insights on integrating AI in critical care. They discuss how AI can enhance education through interactive simulations and improve clinical decision-making by analyzing vast data. The duo addresses challenges like patient data privacy and algorithm transparency, while exploring the future of personalized medicine and the importance of teaching responsible AI usage to healthcare professionals.

Kaitlin M. Alexander is a clinical associate professor focused on integrating AI into critical care education, while Ankit Sakhuja is a director of AI in critical care, enhancing clinical workflows. They discuss the transformative role of AI in education and patient care, highlighting interactive simulations for students to practice decision-making. Ethical concerns like data privacy and algorithm biases are addressed, along with the importance of educating future clinicians on responsible AI use. They emphasize that we are just beginning this journey and stress the need for thoughtful integration.

Kaitlin M. Alexander is a clinical associate professor specializing in integrating AI into critical care education, while Ankit Sakhuja directs AI and informatics at the Institute for Critical Care Medicine. They discuss the transformative potential of AI in critical care education and practice. Kaitlin shares innovative ways AI enhances experiential learning and simulates patient cases. Ankit highlights AI's capability to analyze vast ICU data for better decision-making, addressing data overload, and ensuring ethical usage. They stress the importance of teaching responsible AI application in clinical settings.